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Association between social asymmetry and depression in older adults: A phone Call Detail Records analysis
Analyzing social interactions on a passive and non-invasive way through the use of phone call detail records (CDRs) is now recognized as a promising approach in health monitoring. However, deeper investigations are required to confirm its relevance in social interaction modeling. Particularly, no cl...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6751210/ https://www.ncbi.nlm.nih.gov/pubmed/31534178 http://dx.doi.org/10.1038/s41598-019-49723-8 |
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author | Aubourg, Timothée Demongeot, Jacques Renard, Félix Provost, Hervé Vuillerme, Nicolas |
author_facet | Aubourg, Timothée Demongeot, Jacques Renard, Félix Provost, Hervé Vuillerme, Nicolas |
author_sort | Aubourg, Timothée |
collection | PubMed |
description | Analyzing social interactions on a passive and non-invasive way through the use of phone call detail records (CDRs) is now recognized as a promising approach in health monitoring. However, deeper investigations are required to confirm its relevance in social interaction modeling. Particularly, no clear consensus exists in the use of the direction parameter characterizing the directed nature of interactions in CDRs. In the present work, we specifically investigate, in a 26-older-adults population over 12 months, whether and how this parameter could be used in CDRs analysis. We then evaluate its added-value for depression assessment regarding the Geriatric Depression Scale score assessed within our population during the study. The results show the existence of three clusters of phone call activity named (1) proactive, (2) interactive, and (3) reactive. Then, we introduce the notion of asymmetry that synthesizes these activities. We find significant correlations between asymmetry and the depressive state assessed in the older individual. Particularly, (1) reactive users are more depressed than the others, and (2) not depressed older adults tend to be proactive. Taken together, the present findings suggest the phone’s potential to be used as a social sensor containing relevant health-related insights when the direction parameter is considered. |
format | Online Article Text |
id | pubmed-6751210 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67512102019-09-30 Association between social asymmetry and depression in older adults: A phone Call Detail Records analysis Aubourg, Timothée Demongeot, Jacques Renard, Félix Provost, Hervé Vuillerme, Nicolas Sci Rep Article Analyzing social interactions on a passive and non-invasive way through the use of phone call detail records (CDRs) is now recognized as a promising approach in health monitoring. However, deeper investigations are required to confirm its relevance in social interaction modeling. Particularly, no clear consensus exists in the use of the direction parameter characterizing the directed nature of interactions in CDRs. In the present work, we specifically investigate, in a 26-older-adults population over 12 months, whether and how this parameter could be used in CDRs analysis. We then evaluate its added-value for depression assessment regarding the Geriatric Depression Scale score assessed within our population during the study. The results show the existence of three clusters of phone call activity named (1) proactive, (2) interactive, and (3) reactive. Then, we introduce the notion of asymmetry that synthesizes these activities. We find significant correlations between asymmetry and the depressive state assessed in the older individual. Particularly, (1) reactive users are more depressed than the others, and (2) not depressed older adults tend to be proactive. Taken together, the present findings suggest the phone’s potential to be used as a social sensor containing relevant health-related insights when the direction parameter is considered. Nature Publishing Group UK 2019-09-18 /pmc/articles/PMC6751210/ /pubmed/31534178 http://dx.doi.org/10.1038/s41598-019-49723-8 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Aubourg, Timothée Demongeot, Jacques Renard, Félix Provost, Hervé Vuillerme, Nicolas Association between social asymmetry and depression in older adults: A phone Call Detail Records analysis |
title | Association between social asymmetry and depression in older adults: A phone Call Detail Records analysis |
title_full | Association between social asymmetry and depression in older adults: A phone Call Detail Records analysis |
title_fullStr | Association between social asymmetry and depression in older adults: A phone Call Detail Records analysis |
title_full_unstemmed | Association between social asymmetry and depression in older adults: A phone Call Detail Records analysis |
title_short | Association between social asymmetry and depression in older adults: A phone Call Detail Records analysis |
title_sort | association between social asymmetry and depression in older adults: a phone call detail records analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6751210/ https://www.ncbi.nlm.nih.gov/pubmed/31534178 http://dx.doi.org/10.1038/s41598-019-49723-8 |
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